Clay vs. SalesIntel
Clay and SalesIntel help B2B teams find and use prospect data, but they serve different needs. Clay is a flexible platform for building prospecting and data-enrichment workflows using multiple data sources. SalesIntel focuses on providing B2B company and contact data, including human-verified records.
Users commonly compare them when choosing how to find prospects, enrich lead lists, and support sales outreach. The key differences to consider include data coverage and accuracy, integrations and automation, ease of use, pricing, and how well each tool fits your team’s workflow.
Clay VS SalesIntel: Which tool is the most popular?
| Tool | Reviews | Average rating | Review sentiment | Popularity assessment |
|---|---|---|---|---|
| SalesIntel | 14 | 3.21/5 | 8 positive, 1 neutral, 5 negative | Most popular: It has more reviews and a higher average rating than Clay. |
| Clay | 12 | 1.92/5 | 3 positive, 0 neutral, 9 negative | Least popular: It has fewer reviews, a lower average rating, and mostly negative feedback. |
Clay and SalesIntel: Quick Comparison Overview
I can’t perform a live web search in this chat, so this overview reflects established product positioning; features and plan limits may change.
| Ahrefs | Semrush | |
|---|---|---|
| Primary features | Backlink and competitor analysis; keyword research; site audits; rank tracking; content research. | SEO and competitor research; keyword tools; site audits; rank tracking; plus PPC, local SEO, social, and content-marketing tools. |
| Target audience | SEO specialists, content teams, link builders, and agencies focused on organic search. | SEO teams, agencies, and businesses seeking a broader digital-marketing toolkit. |
| Main advantages | Strong backlink research and a focused workflow for analyzing search performance and content opportunities. | Broad coverage across SEO and adjacent marketing channels, with tools for managing more of the marketing workflow in one platform. |
| Core value proposition | Find opportunities to grow organic traffic through links, keywords, and content insights. | Plan, analyze, and manage digital marketing across SEO, paid search, local, social, and content. |
| Ideal use cases | Backlink prospecting, competitor SEO analysis, keyword discovery, and content planning. | Coordinating SEO with PPC or other marketing activities; agency and multi-channel campaign research. |
Most liked vs most disliked features of Clay and SalesIntel
| Platform | Overall sentiment | What users value | Main concerns |
|---|---|---|---|
| Clay | Mixed, with significant concerns about trust and order fulfillment. | Customers appreciate delivery tracking, responsive communication, and product quality when orders arrive. | Reports of undelivered orders and unanswered inquiries undermine trust. Long waits—sometimes weeks or months—are a recurring frustration. |
| SalesIntel | Generally positive, with users valuing its data and usability while noting areas for improvement. | Users praise the generally reliable contact data, intuitive search and exporting, unlimited downloads, flexible data requests, and helpful customer support. | Some contact data is inaccurate, sales emails may be irrelevant, and coverage is perceived as weaker outside the US or in certain sectors. Users also cite a learning curve and want CRM-list verification features. |
Key Features of Clay vs SalesIntel
Clay vs. SalesIntel for B2B databases
| Feature | How it benefits users | What’s distinctive |
|---|---|---|
| Clay: Multi-source data enrichment | Lets teams enrich prospect and company records using data from multiple providers, helping fill gaps and build more complete lists. | Clay is primarily an orchestration layer: users can combine data sources and enrichment steps in one workflow rather than relying on a single database. |
| Clay: Waterfall enrichment | Tries data sources in sequence, which can improve the chance of finding a usable value—such as an email or phone number—when one source comes up empty. | The user can design how providers are tried and how records move through the workflow. |
| Clay: AI research with Claygent | Can research companies and prospects on the web and populate custom fields, supporting qualification and tailored outreach. | Goes beyond standard database fields by letting teams define what they want researched. |
| Clay: Workflow automation and integrations | Helps automate list building, enrichment, qualification, and handoffs to sales tools, reducing manual work. | Clay combines a spreadsheet-like workspace with configurable data workflows, so teams can build prospecting processes without stitching every step together manually. |
| Clay: Personalized outreach support | Enriched research can be used to create more relevant messaging for each prospect. | Connects data gathering and AI-assisted personalization in the same workflow. |
| SalesIntel: B2B contact and company data | Gives sales teams searchable prospect and account records, helping them identify people and companies to target. | SalesIntel emphasizes human-verified data, rather than positioning itself mainly as a way to orchestrate multiple third-party data sources. |
| SalesIntel: Human verification and Research on Demand | Verification can help users feel more confident in contact details; Research on Demand can help find or validate data when a needed contact isn’t readily available. | Its human research service is a key differentiator for hard-to-find or important prospects. |
| SalesIntel: Buyer and account insights | Intent, firmographic, and technographic information can help teams prioritize accounts and tailor their approach. | Brings prospect data together with buying and company context to support account selection. |
| SalesIntel: RevDriver | The browser extension helps users find SalesIntel information while researching prospects online, supporting faster prospecting. | Makes its database available during a rep’s browsing workflow, rather than only through a standalone search experience. |
| SalesIntel: CRM and sales-tool integrations | Helps teams move prospect data into their existing sales process and keep prospecting connected to their CRM. | Supports using SalesIntel data within broader sales workflows, rather than requiring teams to work only inside the database. |
In short
- Choose Clay if you want to build flexible, automated prospecting workflows that combine multiple data sources, enrichment, and AI research.
- Choose SalesIntel if you want a B2B contact database centered on human verification, with additional research support and buyer/account insights.
Features and availability may vary by plan. See Clay and SalesIntel for current product details.
Clay vs SalesIntel Pricing Comparison
Clay and SalesIntel pricing comparison
| Brand / tier | Monthly price | Annual price | Main offering and differences |
|---|---|---|---|
| Clay — Free | $0 | $0 | Entry-level access to Clay’s data-enrichment and workflow platform, with a limited monthly credit allowance (100 credits). Useful for testing workflows before upgrading. |
| Clay — Starter | $149/month | $134/month billed annually ($1,608/year) | 2,000 credits per month. Adds capacity for regular prospecting and enrichment workflows beyond the free plan. |
| Clay — Explorer | $349/month | $314/month billed annually ($3,768/year) | 10,000 credits per month. A larger allowance for more frequent enrichment and multi-step prospecting workflows. |
| Clay — Pro | $800/month | $720/month billed annually ($8,640/year) | 50,000 credits per month. Designed for higher-volume use and more extensive workflow needs. |
| Clay — Enterprise | Custom | Custom | Tailored pricing and plan configuration for larger organizations. |
| SalesIntel — Custom pricing | Not published | Not published | SalesIntel does not list standard prices or named, fixed-price tiers on its pricing page. Pricing is quote-based and can be tailored to the organization’s users, data needs, and selected products. Its platform offers B2B contact and company data, including verified contact information, with additional data and sales-intelligence options available according to the package. |
Discounts and trial terms
| Brand | Published offer |
|---|---|
| Clay | Annual billing is listed at a lower monthly equivalent than monthly billing—about 10% less on the paid plans shown above. A free plan is available; the pricing page does not list a separate paid-plan free-trial offer. |
| SalesIntel | The pricing page does not publish a standard discount, free-trial period, or fixed promotional rate. Any trial or special pricing should be confirmed with SalesIntel’s sales team. |
Clay publishes plan prices and credit allowances, so its costs are easier to compare up front. SalesIntel requires a quote, making its final price dependent on the package and contract.
Sources: Clay pricing · SalesIntel pricing
Support Options Comparison: Clay vs SalesIntel
| Support option | Clay | SalesIntel |
|---|---|---|
| Live chat | The Help Center provides a chat-based way to contact support. | Live chat is not clearly presented as a support option on the support portal. |
| Phone support | A phone-support option is not listed on the Help Center. | Phone support is not clearly listed on the support portal; the portal directs users to its online support resources. |
| Documentation | Help articles explain how to use Clay and troubleshoot common issues. | The support site provides searchable help articles and product guidance. |
| Webinars, tutorials, and other resources | Clay offers learning materials and tutorials alongside its help articles. | SalesIntel’s portal focuses on support articles; webinars or tutorials are not prominently highlighted there. |
Overall: Clay’s support page makes chat and self-serve learning resources more visible. SalesIntel’s portal is centered on documentation, with no clear indication there of live chat or phone support.
Sources: Clay Help Center · SalesIntel Support
Unique Features of Clay Vs SalesIntel
| Brand | Feature uncommon in a conventional B2B database | Added value and why it may matter |
|---|---|---|
| Clay | Waterfall enrichment across multiple data providers — Clay can check several sources in sequence to find or fill in contact and company details. | Instead of relying on one database’s coverage, teams can combine providers and use the best available result. This can improve record completeness and reduce the need to switch between enrichment tools. |
| Clay | Claygent, an AI research agent — Clay describes using AI to research information from the web, such as company details or signals relevant to a prospect. | Teams can turn research questions into repeatable workflows, rather than manually checking websites and updating records. This is useful when qualification depends on information that standard contact records don’t contain. |
| Clay | Flexible, no-code data workflows — Clay combines enrichment, research, and actions in configurable tables and workflows. | A database typically provides records for users to search or export. Clay can also help teams operationalize those records—for example, enrich them, apply qualification logic, and send results to other systems. This may suit teams that want to build their own go-to-market processes. |
| SalesIntel | Human-verified contact data and Research-on-Demand — SalesIntel offers human verification and a research service for finding or confirming information. | Verification can give sales teams more confidence that contacts and details are usable, while on-demand research can help fill gaps for specific accounts. This is especially valuable when inaccurate data would waste outreach time. |
| SalesIntel | Buyer-intent data — Its offering includes intent signals intended to indicate which accounts may be researching relevant topics. | A contact database shows who might be a prospect; intent signals can help prioritize which accounts may be in-market. That can influence which accounts sales teams pursue first. |
| SalesIntel | Technographic and organizational data — SalesIntel features include information about companies’ technology and organizational structures. | Technology data can help identify fit or a reason to reach out; organizational data can help teams map relevant stakeholders. These are useful when a sale depends on a company’s existing systems or involves several decision-makers. |
“Uncommon” here means less typical of a basic B2B contact database; capabilities vary across vendors. Sources: Clay and SalesIntel.